L. Dang

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Dang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Xiaodong Yang
  3. Oscar D. Lara
  4. Oyebade Kayode Oyedotun
  5. Alex Krizhevsky
  6. Amir Shahroudy
  7. Nils Y. Hammerla
  8. Mohammadreza Babaee
  9. Enea Cippitelli
  10. Yoshua Bengio

Who trusts L. Dang overall

  1. Sakorn Mekruksavanich
  2. Anuchit Jitpattanakul

Papers from L. Dang's perspective

Ordered by how strongly the researchers L. Dang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers